Bi-objective optimization of basic and extended warranty policies regarding preventive maintenance and burn-in policies: Weibull bathtub-shaped failure rate

2020 ◽  
Vol 9 (4) ◽  
pp. 359-377
Author(s):  
Seyed Mohammad Majidi ◽  
Amin Yazdekhasti ◽  
Azade Yousefi
Keyword(s):  
Failure Rate ◽  
Preventive Maintenance ◽  
Extended Warranty ◽  
Warranty Policies

scholarly journals Research on Pricing of Flexible Two-Dimensional Extended Warranty Considering Preventive Maintenance

2019 ◽  
Vol 37 (2) ◽  
pp. 393-400
Author(s):  
Xiaolei Zhang ◽  
Chun Su
Keyword(s):  
Preventive Maintenance ◽  
Two Dimensional ◽  
Maintenance Strategy ◽  
Pricing Model ◽  
Reduction Model ◽  
Warranty Period ◽  
Extended Warranty ◽  
Warranty Cost ◽  
Usage Rates

Facing the uncertainty in transaction of two-dimensional extended warranty, a flexible pricing model is presented considering imperfect preventive maintenance combined with the degradation characteristics of item. The measure of two-dimensional preventive maintenance is carried out based on specified age interval or usage interval, the effect of imperfect preventive maintenance is described by age reduction model. The extended warranty cost is modeled from the perspective of manufacturer and customer, the method of gridding search is employed to optimize the maintenance strategy under different cases. Moreover, customized extended warranty price and warranty services are proposed on the basis of consumer usage rates. The results demonstrate that it is helpful to maximize the benefit of vendor by providing customized warranty strategy, the implementation of preventive maintenance during the whole warranty period can effectively reduce warranty cost for both sides.

Sequential imperfect preventive maintenance policy with random maintenance quality under reliability limit

2011 ◽  
Vol 225 (8) ◽  
pp. 1926-1935 ◽  
Author(s):  
Z Wang ◽  
J Yang ◽  
G Wang ◽  
G Zhang
Keyword(s):  
Failure Rate ◽  
Preventive Maintenance ◽  
Average Cost ◽  
Numerical Control ◽  
Maintenance Policy ◽  
Cost Rate ◽  
Proposed Model ◽  
Optimal Maintenance ◽  
Average Cost Rate ◽  
Optimal Maintenance Policy

To determine the optimal maintenance number for a system with random maintenance quality in infinite time horizon, a sequential imperfect preventive maintenance model considering reliability limit is proposed. The proposed model is derived from the combination of the Kijima type virtual age model and the failure rate adjustment model. Maintenance intervals of the proposed model are obtained through an iteration method when both failure rate increase factor and maintenance restoration factor are random variables with a uniform distribution. The optimal maintenance policy is presented by minimizing the long-run average cost rate. A real numerical example for the failures of numerical control equipment is given to demonstrate the proposed model. Finally, a discussion is presented to show how the optimal average cost rate depends on the different cost parameters. The results show that in order to satisfy the practical requirements of high reliability, it is necessary and worthwhile to consider the system's reliability limit in preventive maintenance practice.

Two-stage flexible warranty decision-making considering downtime loss

2019 ◽  
Vol 234 (3) ◽  
pp. 527-535
Author(s):  
Rui Zheng ◽  
Chun Su ◽  
Yuqiao Zheng
Keyword(s):  
Decision Making ◽  
Preventive Maintenance ◽  
Maintenance Cost ◽  
Service Cost ◽  
Decision Framework ◽  
Two Stage ◽  
Warranty Period ◽  
Second Stage ◽  
Warranty Service ◽  
Warranty Policies

Most existing warranty policies are rigid, and the downtime loss is also not taken into account. This study develops a two-stage decision framework to design flexible warranty policies, where the downtime loss is considered. In the first stage, by minimizing the warranty service cost, a fixed warranty policy is provided to determine the baseline of preventive maintenance’s times and effort. In the second stage, customers have three options to increase preventive maintenance times, preventive maintenance effort, or both of them, which results in three types of flexible warranty policies. The additional maintenance cost for the increased preventive maintenance times and/or preventive maintenance effort is paid by the customers. Besides, the flexible policies are optimized to minimize customer’s cost, which is the sum of the downtime loss and shared maintenance cost. A practical example is provided to illustrate the effectiveness of the proposed flexible warranty policies. The results indicate that compared with the fixed warranty policies, both the manufacturer and customers can benefit from the proposed flexible policies, especially when the downtime loss is substantial. Moreover, the proposed policy is more effective when the warranty period is longer.

Research on Electric Power Equipment Preventive Maintenance Cycle on the Basis of Economic Life Cycle Costing

2012 ◽  
Vol 605-607 ◽  
pp. 296-299
Author(s):  
Yan Li ◽  
Yu Mei Hu ◽  
Yun Feng Luo ◽  
Chang Chen Liu
Keyword(s):  
Life Cycle ◽  
Electric Power ◽  
Failure Rate ◽  
Preventive Maintenance ◽  
Life Cycle Cost ◽  
Specific Effect ◽  
Economic Life ◽  
Variance Ratio ◽  
Power Equipment ◽  
Economic Life Cycle

The maintenance strategy is a tradeoff between cost and reliability. In this paper we consider the maintenance plan from the view of economic life cycle cost and reliability. We discuss the maintenance interval optimization on the premise that the preventive maintenance mitigates failure rate level and intensifies failure variance ratio meanwhile. The specific effect of this kind of preventive maintenance on failure rate and its variance ratio is explored, and then we construct a life cycle cost model of electric power equipment and propose the annuity of life cycle cost minimization as a method for seeking an optimal maintenance interval solution.

scholarly journals REVIEW OF LONG-TERM WARRANTY POLICIES

2006 ◽  
Vol 23 (04) ◽  
pp. 453-472 ◽  
Author(s):  
ANISUR RAHMAN ◽  
GOPINATH CHATTOPADHYAY
Keyword(s):  
Mathematical Models ◽  
Preventive Maintenance ◽  
Customer Demand ◽  
Fierce Competition ◽  
Warranty Policies

A large number of products are now being sold with long-term warranty policies. This is mainly due to fierce competition in the market and customer demand. Offering long-term warranty results in additional complexities in estimating costs associated with warranty servicing due to the uncertainties associated with usage, preventive maintenance and warranty servicing strategies. This paper reviews various long-term warranty policies and mathematical models for estimation of warranty servicing costs.

Impact Assessment of Remote Control and Preventive Maintenance on the Failure Rate of a Disconnector Population

2018 ◽  
Vol 33 (4) ◽  
pp. 1501-1509 ◽  
Author(s):  
Jan Henning Jurgensen ◽  
Anna Lilly Brodersson ◽  
Lars Nordstrom ◽  
Patrik Hilber
Keyword(s):  
Remote Control ◽  
Impact Assessment ◽  
Failure Rate ◽  
Preventive Maintenance

scholarly journals Customized Preventive Maintenance Strategies for Products Sold with Two-Dimensional Warranty

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Fangqi Dong ◽  
Huaqiang Wang ◽  
Feng Men ◽  
Lijun Liang
Keyword(s):  
Numerical Analysis ◽  
Preventive Maintenance ◽  
Programming Model ◽  
Two Dimensional ◽  
Maintenance Costs ◽  
Maintenance Strategies ◽  
Warranty Period ◽  
Extended Warranty ◽  
Warranty Cost ◽  
Warranty Costs

Two-dimensional warranty has played a significant role in improving product quality and competitiveness. However, two-dimensional basic warranty (BW) and extended warranty (EW) have not yet been combined effectively, and the customized maintenance strategies based on the consumers’ heterogeneity have been quite limited, which result in high maintenance costs. In this paper, the possibility of reducing warranty cost over BW and EW is explored by classifying customers based on their usage rates and then offering them with customized preventive maintenance (PM) strategies. By considering the purchasing ratio of EW contracts, the PM strategies for BW and EW are closely combined by the bi-level programming model. Numerical analysis is given to show the application of the proposed warranty strategy, and the significant findings and sensitivity of the main parameters are analyzed in the end. The findings demonstrate that the customized PM strategies combining BW and EW can effectively reduce warranty costs within the warranty period and provide a scientific guidance for manufacturers to design a more reasonable PM strategy.

Modelling the Effects of Reliability and Maintenance on Levelised Cost of Wind Energy

2019 ◽  
Author(s):  
Cuong D. Dao ◽  
Behzad Kazemtabrizi ◽  
Christopher J. Crabtree
Keyword(s):  
Wind Energy ◽  
Wind Turbine ◽  
Failure Rate ◽  
Preventive Maintenance ◽  
Reliability Data ◽  
Energy Estimation ◽  
Operation And Maintenance ◽  
Cost Of Energy ◽  
Proposed Model ◽  
Sample Set

Abstract Levelised cost of energy is an important measure to evaluate the success of a wind energy project. It includes all the capital and operational expenditures of a wind turbine over its lifetime based on the expected power generated. In the literature, wind turbine reliability is largely neglected in levelised cost of energy estimation. This paper presents a model to evaluate levelised cost of energy while considering the reliability and maintenance of wind turbine subassemblies. The key concept behind this model is that the failure rate of a wind turbine subassembly depends on the preventive maintenance spending. The proposed model makes it possible to relate reliability data, such as failure rate and downtime of wind turbine subassemblies, to the operation and maintenance expenditure, as well as the annual energy production. The model is analysed using a sample set of recently published reliability data and it is observed that both the operation and maintenance expenditure and levelised cost of energy are convex functions of the subassembly’s failure rate and the preventive maintenance spending. This study can help wind turbine manufacturers and operators identify the level of reliability improvement and maintenance investment required to minimise the levelised cost of energy.

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